Classifying MathML Expressions by Multilayer Perceptron

DOI 機関リポジトリ HANDLE Web Site 参考文献7件 オープンアクセス
  • NAGAO Yuma
    Graduate School of Library, Information and Media Studies, University of Tsukuba
  • SUZUKI Nobutaka
    Faculty of Library, Information and Media Science, University of Tsukuba

この論文をさがす

説明

<p>MathML is a standard markup language for describing math expressions. MathML consists of two sets of elements: Presentation Markup and Content Markup. The former is widely used to display math expressions in Web pages, while the latter is more suited to the calculation of math expressions. In this letter, we focus on the former and consider classifying Presentation MathML expressions. Identifying the classes of given Presentation MathML expressions is helpful for several applications, e.g., Presentation to Content MathML conversion, text-to-speech, and so on. We propose a method for classifying Presentation MathML expressions by using multilayer perceptron. Experimental results show that our method classifies MathML expressions with high accuracy.</p>

収録刊行物

参考文献 (7)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ